Streaming of CLI session
https://github.com/elisescu/tty-share https://tty-share.com/
https://github.com/qnkhuat/tstream
OpenAPI Text to Speech
https://github.com/simonw/ospeak
https://simonwillison.net/2023/Nov/7/ospeak/
https://platform.openai.com/docs/guides/text-to-speech
CLI tool for running text through the OpenAI Text to speech API and speaking or saving the result
Python Notebook
https://realpython.com/jupyter-notebook-introduction/
https://openclassrooms.com/en/courses/2304731-learn-python-basics-for-data-analysis/7978803-take-your-first-steps-with-jupyter-notebook
https://www.shiksha.com/online-courses/how-to-use-google-colab-for-python-course-grlel861
https://www.geeksforgeeks.org/how-to-use-google-colab/
AI ML Useful YouTube channels
K8sGPT
Default AI backend OpenAI. LocalAI can also used.
Built in analyzers
Enabled by default
- podAnalyzer
- pvcAnalyzer
- rsAnalyzer
- serviceAnalyzer
- eventAnalyzer
- ingressAnalyzer
- statefulSetAnalyzer
- deploymentAnalyzer
- cronJobAnalyzer
- nodeAnalyzer
- mutatingWebhookAnalyzer
- validatingWebhookAnalyzer
Optional
- hpaAnalyzer
- pdbAnalyzer
- networkPolicyAnalyzer
https://itnext.io/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65
https://github.com/k8sgpt-ai/k8sgpt
https://github.com/k8sgpt-ai/k8sgpt-operator
https://www.youtube.com/watch?v=PKrDNuJ_dfE
GenAI Part 2
To understand any Github Repo. Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code
https://app.getonboardai.com/
=========================================================
Langchain
https://github.com/kyrolabs/awesome-langchain
=========================================================
Model file
extension: HF, GPTQ, GGML, BIN and GGUF.
Each model needs 4 files (with example content)
File 1 - The model's GGUF file
File 2 - The model's .yaml file
backend: llama
context_size: 2000
name: lunademo
parameters:
model: luna-ai-llama2-uncensored.Q4_K_M.gguf
temperature: 0.2
top_k: 40
top_p: 0.65
roles:
assistant: 'ASSISTANT:'
system: 'SYSTEM:'
user: 'USER:'
roles:
assistant: 'ASSISTANT:'
system: 'SYSTEM:'
user: 'USER:'
File 3 - The Chat API .tmpl file
{{.Input}}
ASSISTANT:
Complete the following sentence: {{.Input}}
File 4 - The Completion API .tmpl file
=========================================================
Local Deployment of GenAI
1. https://github.com/cocktailpeanut/dalai
2. GPT 4 all https://gpt4all.io/index.html https://github.com/nomic-ai/gpt4all
3. vLLM library https://vllm.readthedocs.io/en/latest/#
4. API store https://gorilla.cs.berkeley.edu/ and https://github.com/ShishirPatil/gorilla
5. https://github.com/imartinez/privateGPT and https://docs.privategpt.dev/ Based on PrivateGPT https://github.com/marella/chatdocs
6. https://github.com/Lightning-AI/lit-gpt based on nanoGPT
7. https://github.com/Vision-CAIR/MiniGPT-4/tree/main and https://minigpt-4.github.io/ https://huggingface.co/spaces/Vision-CAIR/minigpt4 https://www.youtube.com/watch?v=__tftoxpBAw
8. https://collabnix.com/running-ollama-2-on-nvidia-jetson-nano-with-gpu-using-docker/
9. Langchain
https://python.langchain.com/docs/guides/local_llms
10. Casandra DB
https://cassio.org/frameworks/langchain/qa-basic/
https://colab.research.google.com/github/CassioML/cassio-website/blob/main/docs/frameworks/langchain/.colab/colab_qa-basic.ipynb
11. gtr-t5-large model is around 640 MB
https://til.simonwillison.net/python/gtr-t5-large
=========================================================
Local Document search
1. https://github.com/h2oai/h2ogpt
2. https://github.com/imartinez/privateGPT and https://docs.privategpt.dev/ OR https://github.com/SamurAIGPT/EmbedAI
3. https://github.com/PromtEngineer/localGPT
4. LocalAI
https://localai.io/
https://github.com/mudler/LocalAI
https://github.com/go-skynet/helm-charts/tree/main/charts/local-ai and https://localai.io/basics/getting_started/index.html#run-localai-in-kubernetes
https://localai.io/basics/build/index.html
integration with Logseq https://github.com/briansunter/logseq-plugin-gpt3-openai
How Tos https://localai.io/howtos/
https://localai.io/howtos/easy-request-openai/
Access
https://localai.io/howtos/easy-model-import-downloaded/
https://localai.io/howtos/easy-request-curl/
All Git Repo https://github.com/lunamidori5
5. https://mudler.pm/posts/localai-question-answering/
6. GPT3 and datasette
https://simonwillison.net/2023/Jan/13/semantic-search-answers/